Serve Robotics
51 - 200 employees
Founded 2017
đ Transport
đ¤ Artificial Intelligence
đ° $30M Venture Round on 2023-08
Transport ⢠Artificial Intelligence
Serve Robotics is an innovative company focused on revolutionizing the delivery industry with its autonomous delivery robots. The company aims to make delivery services more affordable, sustainable, and convenient by using self-driving robots instead of traditional two-ton vehicles for small deliveries like burritos. Through a commercial deal with Uber, Serve Robotics plans to deploy up to 2,000 robots, marking a significant advancement in the autonomous delivery sector.
Data Analyst, Supply Chain
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Serve Robotics
51 - 200 employees
Founded 2017
đ Transport
đ¤ Artificial Intelligence
đ° $30M Venture Round on 2023-08
Transport ⢠Artificial Intelligence
Serve Robotics is an innovative company focused on revolutionizing the delivery industry with its autonomous delivery robots. The company aims to make delivery services more affordable, sustainable, and convenient by using self-driving robots instead of traditional two-ton vehicles for small deliveries like burritos. Through a commercial deal with Uber, Serve Robotics plans to deploy up to 2,000 robots, marking a significant advancement in the autonomous delivery sector.
đ Description
⢠Develop and manage API-based workflows to ensure seamless communication between our core business platforms and external logistics partners. ⢠Design, build, and maintain automated pipelines to retrieve and route data across various internal and external databases and tools. ⢠Perform hands-on data analysis (e.g., tracking average shipping times, inventory flows, etc.) and build automated spreadsheets and/or dashboards for stakeholders. ⢠Implement error handling, alerting, etc. to ensure data workflows run consistently and accurately. ⢠Partner with Supply Chain, Operations, Finance, and Engineering stakeholders to define KPIs, reporting requirements, and data quality standards across supply chain processes. ⢠Conduct root cause analysis on operational issues and recommend process improvements that reduce cost, improve inventory accuracy, and increase logistics performance. ⢠Create and maintain technical documentation for data models, integrations, workflows, and reporting systems to support long term scalability and knowledge sharing.
đŻ Requirements
⢠5 years of hands-on experience in data analysis, data engineering, workflow automation, or similar technical roles. ⢠Strong general knowledge of data structures and data management, both for big data using cloud databases and small data using excel & google sheets. ⢠Advanced knowledge of SQL and at least one other programming language (ideally Python or Javascript). ⢠Proficiency in modern AI-driven development including AI coding tools (e.g., Claude Code, GitHub Copilot, Codex), Model Context Protocol (MCP), configuration of Skills, sub-agents, etc. and familiarity with popular AI orchestration frameworks such as Langgraph, OpenAI API/SDK, Gemini API/SDK, etc. ⢠Experience designing data models and transforming data from multiple operational systems into clean, reliable datasets for reporting and analysis. ⢠Strong analytical and problem solving skills, with the ability to translate complex data into actionable business recommendations for nontechnical stakeholders. ⢠Demonstrated ability to independently manage multiple projects, prioritize competing requests, and deliver high quality work in a fast paced environment.
đď¸ Benefits
⢠Health insurance ⢠Flexible work arrangements ⢠Professional development opportunities
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